Multi-carrier Positioning via TA and AoA Aggregation
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Solution Overview
Problem
The existing TA+AoA positioning method is limited to single-cell scenarios, resulting in low positioning precision due to environmental and signal interference factors, especially in multi-carrier systems where different carriers experience different propagation environments.
Innovation Solution
A multi-carrier positioning method that aggregates measurements from multiple cells, including Timing Advance (TA) and Angle of Arrival (AoA) values, to improve positioning accuracy by selecting the least affected TA values and averaging AoA values across cells, thereby increasing the number of reference parameters for precise location calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If single-cell TA+AoA positioning method is used, then the positioning method is simple to implement, but the positioning precision is low due to environmental and signal interference factors
Solution Approach 1:
The patent combines positioning measurements from multiple cells (multi-carrier aggregation) into a unified positioning result. The E-SMLC collects TA and AoA measurements from multiple base stations and integrates them to calculate the final UE position, thereby improving positioning precision while maintaining systematic simplicity.
Solution Approach 2:
The patent transitions from single-cell two-dimensional positioning to multi-cell three-dimensional positioning space. By incorporating measurements from multiple carriers and cells, the system adds spatial dimensions to the positioning process, enabling more accurate location determination through multi-dimensional measurement fusion.
2Measurement precision
If measurements from multiple cells are aggregated, then the positioning precision is improved, but the measurement and calculation complexity increases
Solution Approach 1:
The patent divides the positioning process into distinct segments: individual cell measurements are performed separately by each base station, then results are transmitted to the E-SMLC for centralized processing. This segmentation allows parallel measurement collection while maintaining manageable computational complexity through distributed measurement and centralized calculation.
Solution Approach 2:
The E-SMLC acts as an intermediary that receives measurement data from multiple base stations and performs the complex integration calculations. This intermediary role centralizes the computational complexity in a dedicated positioning server, preventing the complexity from propagating through the entire network and making the system more manageable.
3Reliability
If TA values from multiple cells are used, then the impact of multi-path effects is reduced, but the data processing requirements increase
Solution Approach 1:
The system implements feedback mechanisms where base stations report measurement quality and conditions to the E-SMLC. The E-SMLC uses this feedback to selectively weight or filter TA values from different cells, reducing the impact of multi-path effects while optimizing data processing by focusing on high-quality measurements rather than processing all available data equally.
Data Source
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AI summary
Disclosed are a positioning method, device and system in a multi-carrier system, relating to communications technology. When positioning in a multi-carrier system, the embodiments of the present invention respectively perform positioning measurements under a plurality of carriers and position user equipment according to the measurement results of the respectively performed positioning measurements under the plurality of carriers. Since the number of parameters for reference is increased when positioning, the positioning precision is improved.